Abstract

We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of certain linear operators that depend on the threedimensional shape of the scene as well as on the optics of the camera. Unlike most current work based on inverting the imaging model to recover the "deblurred" image and the shape of the scene, we approach the problem from a new angle by collecting a number of deblurred images, and estimating the operator that spans their left null space directly. This is done using a singular value decomposition.

Citations